.-
help for ^muxyplot^
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Scatter plots with multiple x and y variables
---------------------------------------------

    ^muxyplot^ yvars xvars [weight] [^if^ exp] [^in^ range]
    [ ^,^ graph_options ^l^ink ^n^eed^(^string^)^ ]

Description
-----------

^muxyplot^ produces a scatter or twoway plot for yvars versus xvars,
all of which xvars are measured on comparable scales. The number of
yvars must equal the number of xvars. For example,

^muxyplot^ y1 y2 y3 x1 x2 x3

plots y1 versus x1, y2 versus x2 and y3 versus x3, all on the same
scatter plot.


Options
-------

graph_options are options allowed with ^graph, twoway^. ^connect^ and
^symbol^ refer to the y-axis variables. Note that

    1. ^connect(||)^ and ^connect(II)^ are either unusable or
    irrelevant.

    2. ^sy([_n])^ does not work properly. Instead do something like

    ^gen id = _n^
    ^muxyplot^ ... ^, sy(...[id]...) need(id)^

    3. As exemplified above, any variables named in options should also
    be specified in the ^need^ option.

^link^ connects each sequence of data points for each observation
    (x1, y1), (x2, y2), (x3, y3), ... by a segmented straight line. For
    example, if each pair of variables refers to a specific time, then
    the trajectory of an individual over time may be shown in this way.
    ^link^ may not be combined with ^connect()^.

^need(^string^)^ specifies variables needed by options and not mentioned
    before the options. (Otherwise, those variables would be lost by the
    ^stack^ included in ^muxyplot^.) Two or more variable names should
    be separated by spaces.


Limitation
----------

^by( ) link total^ is allowed as a combination of  options but is not
guaranteed to produce a correct ^total^ graph, because sorting first on
the ^by( )^ variable may have the side-effect of producing spurious
connections between data points.


Examples
--------

 . ^muxyplot wrunoff srunoff wrain17 srain17, c(ss) bands(7)^
 . ^muxyplot br60 br70 br80 br90 dr60 dr70 dr80 dr90, link^

 . ^regress y1 x1^
 . ^predict y1p^
 . ^regress y2 x2^ 
 . ^predict y2p^ 
 . ^muxyplot y1 y1p y2 y2p x1 x1 x2 x2, c(.l.l) sy(oipi) sort^ 
   ^l2(y1 and y2) b2(x1 and x2)^ 


Author
------

         Nicholas J. Cox, University of Durham, U.K.
         n.j.cox@@durham.ac.uk


Also see
--------

On-line: help for @graph@, @muxplot@ (if installed)
 Manual: [R] graph